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The sustainable use of polymeric materials is underpinned by ensuring long service life in all industries and applications. Understanding durability requires research into the effects of both
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on software and other IT products. We also offer access to additional employee benefits through our Terms of Employment Options Model. In this way, we encourage our employees to continue to invest in
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link , as well as discounts on software and other IT products. We also offer access to additional employee benefits through our Terms of Employment Options Model. In this way, we encourage our employees
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systems using various tools and models, including: i) characterization of the emerging patterns in physical systems (solid state materials and active systems); ii) investigation of the mechanical properties
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mineral and metal-bearing raw materials more efficiently and to recycle them in an environmentally friendly way. The Department of Modelling and Evaluation is looking for a PhD Student (f/m/d) to work in
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obtaining) a PhD in Engineering or other relevant area Knowledge and experience in: Material flow analysis, environmental assessment, emissions accounting or other topics and tools of Industrial Ecology
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University of Massachusetts Medical School | Worcester, Massachusetts | United States | about 1 hour ago
We are seeking immediate post-doctoral positions in Alzheimer’s disease and related neurodegenerative diseases, by using stem cell models and genomic approaches. Preferred qualifications: D. in
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Physical Sciences for Advanced Materials and Technologies (MPHS) Program duration: 4 years No. of scholarships: 5 Coordinator: Prof. Nicola Fusco Contact e-mail: mphs@ssmeridionale.it 8. Modeling and
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Application deadline: All year round Research theme: Computational Chemistry, Material Science No. of positions: 1 Eligibility: UK students This 3.5-year project is fully funded by industry and home
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to the full development pipeline: from algorithm design and implementation to clinical integration and evaluation. You will also work on improving prognostic models using (neuro-symbolic) AI and develop